Dataset Information

Trends in varicella mortality in the United States: Data from vital statistics and the national surveillance system.

ABSTRACT: This manuscript describes trends in US varicella mortality using national vital statistics system data for 2008-2011, the first years of the routine 2-dose varicella vaccination program, and characteristics of varicella deaths reported to CDC during 1996-2013. We obtained data on deaths with varicella as underlying or contributing cause from the 2008-2011 Mortality Multiple Cause-of Death records and calculated rates to compare with the prevaccine and mature 1-dose varicella vaccination program eras. We also reviewed available records of varicella deaths reported to CDC through the national varicella death surveillance. The annual average age-adjusted mortality rate for varicella as the underlying cause was 0.05 per million population during 2008-2011, an 87% reduction from the prevaccine years. Varicella deaths among persons aged <20 y declined by 99% in 2008-2011 compared with prevaccine years. There was a 70% decline in varicella mortality rates among those <20 y in 2008-2011 compared to 2005-2007. Among the 83 deaths reported to CDC during 1996-2013 classified as likely due to varicella, 24 (29%) were among immunocompromised individuals. Five were among persons previously vaccinated with 1 dose of varicella vaccine. In conclusion, although the US varicella vaccination program has significantly reduced varicella disease burden, there are still opportunities to prevent varicella and its associated morbidity and mortality through routine varicella vaccination, catch-up vaccination, and ensuring that household contacts of immunocompromised persons have evidence of immunity.

SUBMITTER: Leung J

PROVIDER: S-EPMC4514403 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

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Trends in varicella mortality in the United States: Data from vital statistics and the national surveillance system.

Leung Jessica J Bialek Stephanie R SR Marin Mona M

Human vaccines & immunotherapeutics 20150101 3

This manuscript describes trends in US varicella mortality using national vital statistics system data for 2008-2011, the first years of the routine 2-dose varicella vaccination program, and characteristics of varicella deaths reported to CDC during 1996-2013. We obtained data on deaths with varicella as underlying or contributing cause from the 2008-2011 Mortality Multiple Cause-of Death records and calculated rates to compare with the prevaccine and mature 1-dose varicella vaccination program ...[more]

PMID: 25714052

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Project description:IntroductionWe assessed chronic liver disease (CLD)-related mortality in the U.S. using death data (2011-2021) obtained from National Vital Statistics System (NVSS). The average annual percentage change (AAPC) from the models selected by Joinpoint regression analysis over the pre-pandemic (2011-2019) and the 2019-2021 were reported because non-linear trend in death rates were observed over the 2011-2021. Liver-specific death was defined as an underlying cause of death and Chronic liver disease (CLD)-related death was defined as any cause of death. During the pre-pandemic, age-standardized HCC- and cirrhosis-specific death rates were annually increased by AAPC = +1.18% (95% confidence interval, 0.34% to 2.03%) and AAPC = +1.95% (1.56% to 2.35%). In contrast, during the 2019-2021, the AAPC in age-standardized cirrhosis-specific death rate (per 100,000) accelerated by up to AAPC +11.25% (15.23 in 2019 to 18.86 in 2021) whereas that in age-standardized HCC-specific death rate slowed to -0.39 (-1.32% to 0.54%) (3.86 in 2019 to 3.84 in 2021). Compared to HCC-specific deaths, cirrhosis-specific deaths were more likely to be non-Hispanic white (72.4% vs. 62.0%) and non-Hispanic American Indian and Alaska native (AIAN) (2.2% vs. 1.1%) and have NAFLD (45.3% vs. 12.5%) and ALD (27.6% vs. 22.0%). During the 2019-2021, the age-standardized HCV- and HBV-related death rate stabilized, whereas the age-standardized NAFLD- and ALD-related deaths rate increased to 20.16 in 2021 (AAPC = +12.13% [7.76% to 16.68%]) and to 14.95 in 2021 (AAPC = +18.30% [13.76% to 23.03%]), which were in contrast to much smaller incremental increases during the pre-pandemic (AAPC = +1.82% [1.29% to 2.35%] and AAPC = +4.54% [3.97% to 5.11%]), respectively). The most pronounced rise in the age-standardized NAFLD-related death rates during the pandemic was observed among AIAN (AAPC = +25.38%), followed by non-Hispanic White female (AAPC = +14.28%), whereas the age-standardized ALD-related death rates during the pandemic were highest among AIAN (AAPC = +40.65%), followed by non-Hispanic Black female (AAPC = +26.79%).ConclusionsCOVID-19 pandemic had a major negative impact on cirrhosis-specific and CLD-related mortality in the U.S. with significant racial and gender disparities.

Project description:ObjectiveTo describe trends in the burden of mortality due to subtypes of heart disease from 1999 to 2018 to inform targeted prevention strategies and reduce disparities.DesignSerial cross sectional analysis of cause specific heart disease mortality rates using national death certificate data in the overall population as well as stratified by race-sex, age, and geography.SettingUnited States, 1999-2018.Participants12.9 million decedents from total heart disease (49% women, 12% black, and 19% <65 years old).Main outcome measuresAge adjusted mortality rates (AAMR) and years of potential life lost (YPLL) for each heart disease subtype, and respective mean annual percentage change.ResultsDeaths from total heart disease fell from 752 192 to 596 577 between 1999 and 2011, and then increased to 655 381 in 2018. From 1999 to 2018, the proportion of total deaths from heart disease attributed to ischemic heart disease decreased from 73% to 56%, while the proportion attributed to heart failure increased from 8% to 13% and the proportion attributed to hypertensive heart disease increased from 4% to 9%. Among heart disease subtypes, AAMR was consistently highest for ischemic heart disease in all subgroups (race-sex, age, and region). After 2011, AAMR for heart failure and hypertensive heart disease increased at a faster rate than for other subtypes. The fastest increases in heart failure mortality were in black men (mean annual percentage change 4.9%, 95% confidence interval 4.0% to 5.8%), whereas the fastest increases in hypertensive heart disease occurred in white men (6.3%, 4.9% to 9.4%). The burden of years of potential life lost was greatest from ischemic heart disease, but black-white disparities were driven by heart failure and hypertensive heart disease. Deaths from heart disease in 2018 resulted in approximately 3.8 million potential years of life lost.ConclusionsTrends in AAMR and years of potential life lost for ischemic heart disease have decelerated since 2011. For almost all other subtypes of heart disease, AAMR and years of potential life lost became stagnant or increased. Heart failure and hypertensive heart disease account for the greatest increases in premature deaths and the largest black-white disparities and have offset declines in ischemic heart disease. Early and targeted primary and secondary prevention and control of risk factors for heart disease, with a focus on groups at high risk, are needed to avoid these suboptimal trends beginning earlier in life.

Project description:BackgroundLife expectancy at birth in the United States will likely surpass 80 years in the coming decade. Yet recent studies suggest that longevity gains are unevenly shared across age and socioeconomic groups. First, mortality in midlife has risen among non-Hispanic whites. Second, low-educated whites have suffered stalls (men) or declines (women) in adult life expectancy, which is significantly lower than among their college-educated counterparts. Estimating the number of life years lost or gained by age and cause of death, broken down by educational attainment, is crucial in identifying vulnerable populations.Methods and findingsUsing U.S. vital statistics data from 1990 to 2010, this study decomposes the change in life expectancy at age 25 by age and cause of death across educational attainment groups, broken down by race and gender. The findings reveal that mortality in midlife increased for white women (and to a lesser extent men) with 12 or fewer years of schooling, accounting for most of the stalls or declines in adult life expectancy observed in those groups. Among blacks, mortality declined in nearly all age and educational attainment groups. Although an educational gradient was found across multiple causes of death, between 60 and 80 percent of the gap in adult life expectancy was explained by cardiovascular diseases, smoking-related diseases, and external causes of death. Furthermore, the number of life years lost to smoking-related, external, and other causes of death increased among low- and high school-educated whites, explaining recent stalls or declines in longevity.ConclusionsLarge segments of the American population-particularly low- and high school-educated whites under age 55-are diverging from their college-educated counterparts and losing additional years of life to smoking-related diseases and external causes of death. If this trend continues, old-age mortality may also increase for these birth cohorts in the coming decades.

Project description:Objectives: Both the National Vital Statistics System (NVSS) and the Fatality Analysis Reporting System (FARS) can be used to examine motor vehicle crash (MVC) deaths. These 2 data systems operate independently, using different methods to collect and code information about the type of vehicle (e.g., car, truck, bus) and road user (e.g., occupant, motorcyclist, pedestrian) involved in an MVC. A substantial proportion of MVC deaths in NVSS are coded as "unspecified" road user, which reduces the utility of the NVSS data for describing burden and identifying prevention measures. This study aimed to describe characteristics of unspecified road user deaths in NVSS to further our understanding of how these groups may be similar to occupant road user deaths. Methods: Using data from 1999 to 2015, we compared NVSS and FARS MVC death counts by road user type, overall and by age group, gender, and year. In addition, we examined factors associated with the categorization of an MVC death as unspecified road user such as state of residence of decedent, type of medical death investigation system, and place of death. Results: The number of MVC occupant deaths in NVSS was smaller than that in FARS in each year and the number of unspecified road user deaths in NVSS was greater than that in FARS. The sum of the number of occupant and unspecified road user deaths in NVSS, however, was approximately equal to the number of FARS occupant deaths. Age group and gender distributions were roughly equivalent for NVSS and FARS occupants and NVSS unspecified road users. Within NVSS, the number of MVC deaths listed as unspecified road user varied across states and over time. Other categories of road users (motorcyclists, pedal cyclists, and pedestrians) were consistent when comparing NVSS and FARS. Conclusions: Our findings suggest that the unspecified road user MVC deaths in NVSS look similar to those of MVC occupants according to selected characteristics. Additional study is needed to identify documentation and reporting challenges in individual states and over time and to identify opportunities for improvement in the coding of road user type in NVSS.

Project description:BackgroundAccurate forecasting of cardiovascular disease mortality is crucial to guide policy and programming efforts. Prior forecasts often have not incorporated past trends in rates of reduction in cardiovascular disease mortality. This creates uncertainties about future trends in cardiovascular disease mortality and disparities.Methods and resultsTo forecast US cardiovascular disease mortality and disparities to 2030, we developed a hierarchical bayesian model to determine and incorporate prior age, period, and cohort effects from 1979 to 2012, stratified by age, sex, and race, which we combined with expected demographic shifts to 2030. Data sources included the National Vital Statistics System, Surveillance, Epidemiology, and End Results (SEER) single-year population estimates, and US Bureau of Statistics 2012 national population projections. We projected coronary disease and stroke deaths to 2030, first on the basis of constant age, period, and cohort effects at 2012 values, as is most commonly done (conventional), and then with the use of more rigorous projections incorporating expected trends in age, period, and cohort effects (trend based). We primarily evaluated absolute mortality. The conventional model projected total coronary and stroke deaths by 2030 to increase by ≈18% (67 000 additional coronary deaths per year) and 50% (64 000 additional stroke deaths per year). Conversely, the trend-based model projected that coronary mortality would decrease by 2030 by ≈27% (79 000 fewer deaths per year) and stroke mortality would remain unchanged (200 fewer deaths per year). Health disparities will be improved in stroke deaths but not coronary deaths.ConclusionsAfter prior mortality trends and expected demographic shifts are accounted for, total US coronary deaths are expected to decline, whereas stroke mortality will remain relatively constant. Health disparities in stroke but not coronary deaths will be improved but not eliminated. These age, period, and cohort approaches offer more plausible predictions than conventional estimates.

Project description:ImportanceInequalities in preterm infant mortality exist between population subgroups within the United States.ObjectiveTo characterize trends in preterm infant mortality by maternal race and socioeconomic status to assess how inequalities in preterm mortality rates have changed over time.Design, setting, and participantsThis was a retrospective longitudinal descriptive study using the US National Center for Health Statistics birth infant/death data set for 12 256 303 preterm infant births over 26 years, between 1995 and 2020. Data were analyzed from December 2022 to March 2023.ExposuresMaternal characteristics including race, smoking status, educational attainment, antenatal care, and insurance status were used as reported on an infant's US birth certificate.Main outcomes and measuresPreterm infant mortality rate was calculated for each year from 1995 to 2020 for all subgroups, with a trend regression coefficient calculated to describe the rate of change in preterm mortality.ResultsThe average US preterm infant mortality rate (IMR) decreased from 33.71 (95% CI, 33.71 to 34.04) per 1000 preterm births per year between 1995-1997, to 23.32 (95% CI, 23.05 to 23.58) between 2018-2020. Black non-Hispanic infants were more likely to die following preterm births than White non-Hispanic infants (IMR, 31.09; 95% CI, 30.44 to 31.74, vs 21.81; 95% CI, 21.43 to 22.18, in 2018-2020); however, once born, extremely prematurely Black and Hispanic infants had a narrow survival advantage (IMR rate ratio, 0.87; 95% CI, 0.84 to 0.91, in 2018-2020). The rate of decrease in preterm IMR was higher in Black infants (-0.015) than in White (-0.013) and Hispanic infants (-0.010); however, the relative risk of preterm IMR among Black infants compared with White infants remained the same between 1995-1997 vs 2018-2020 (relative risk, 1.40; 95% CI, 1.38 to 1.44, vs 1.43; 95% CI, 1.39 to 1.46). The rate of decrease in preterm IMR was higher in nonsmokers compared with smokers (-0.015 vs -0.010, respectively), in those with high levels of education compared with those with intermediate or low (-0.016 vs - 0.010 or -0.011, respectively), and in those who had received adequate antenatal care compared with those who did not (-0.014 vs -0.012 for intermediate and -0.013 for inadequate antenatal care). Over time, the relative risk of preterm mortality widened within each of these subgroups.Conclusions and relevanceThis study found that between 1995 and 2020, US preterm infant mortality improved among all categories of prematurity. Inequalities in preterm infant mortality based on maternal race and ethnicity have remained constant while socioeconomic disparities have widened over time.

Dataset Information

Trends in varicella mortality in the United States: Data from vital statistics and the national surveillance system.

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Trends in varicella mortality in the United States: Data from vital statistics and the national surveillance system.

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